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Table of Contents

Documentation Update Workflow

When To Use

Use this skill when code changes require updates to the README, plans, wikis, or docstrings. Run Skill(sanctum:git-workspace-review) first to capture the change context.

System Capabilities

The documentation update workflow includes several specialized functions. It identifies redundancy through consolidation detection and enforces directory-specific style rules, with strict limits for docs/ and more lenient ones for the book/ directory. The system also verifies the accuracy of version numbers and component counts and integrates with the LSP for semantic documentation verification in supported versions of Claude Code.

When NOT To Use

  • README-specific updates - use update-readme instead
  • Complex multi-file consolidation - use doc-consolidation

Required TodoWrite Items

  1. doc-updates:context-collected - Git context + CHANGELOG review
  2. doc-updates:targets-identified
  3. doc-updates:consolidation-checked (skippable)
  4. doc-updates:edits-applied
  5. doc-updates:guidelines-verified
  6. doc-updates:slop-scanned - AI marker detection via scribe
  7. doc-updates:plugins-synced - plugin.json ↔ disk audit
  8. doc-updates:capabilities-synced - plugin.json ↔ documentation sync
  9. doc-updates:accuracy-verified
  10. doc-updates:preview

Step 1: Collect Context (context-collected)

  • Validate Skill(sanctum:git-workspace-review) has been run.
  • Use its notes to understand the delta.
  • Identify the features or bug fixes that need documentation updates.

CHANGELOG Reference (critical for version sync):

# Check recent CHANGELOG entries for undocumented features
head -100 CHANGELOG.md

# Compare documented version vs plugin versions
grep -E "^\[.*\]" CHANGELOG.md | head -3
for p in plugins/*/.claude-plugin/plugin.json; do
    jq -r '"\(.name): \(.version)"' "$p"
done | head -5

Cross-reference CHANGELOG entries against:

  • book/src/reference/capabilities-reference.md - All skills/commands/agents
  • Plugin documentation in book/src/plugins/ - Per-plugin docs
  • Plugin READMEs - Quick reference docs

Step 2: Identify Targets (targets-identified)

  • List the relevant files from the scope across all documentation locations:
    • docs/ - Reference documentation (strict style)
    • book/ - Technical book content (lenient style)
    • README.md files at project and plugin roots
    • wiki/ entries if present
    • Docstrings in code files
  • Prioritize user-facing documentation first, then supporting plans and specifications.
  • When architectural work is planned, confirm whether an Architecture Decision Record (ADR) already exists in wiki/architecture/ (or wherever ADRs are located).
  • Add missing ADRs to the target list before any implementation begins.

Step 2.5: Check for Consolidation (consolidation-checked)

Load: @modules/consolidation-integration.md

Purpose: Detect redundancy and bloat before making edits.

Scan for:

  • Untracked reports (ALL_CAPS *_REPORT.md, *_ANALYSIS.md files)
  • Bloated committed docs (files exceeding 500 lines in docs/, 1000 in book/)
  • Stale files (outdated content that should be deleted)

User approval required before:

  • Merging content from one file to another
  • Deleting stale or redundant files
  • Splitting bloated files

Skip options:

  • Use --skip-consolidation flag to bypass this phase
  • Select specific items instead of processing all

Exit criteria: User has approved/skipped all consolidation opportunities.

Step 3: Apply Edits (edits-applied)

  • Update each file with grounded language: explain what changed and why.
  • Reference specific commands, filenames, or configuration options where possible.
  • For docstrings, use the imperative mood and keep them concise.
  • For ADRs, see modules/adr-patterns.md for complete template structure, status flow, immutability rules, and best practices.

Step 4: Enforce Guidelines (guidelines-verified)

Load: @modules/directory-style-rules.md

Style Enforcement

Maintain consistent documentation by applying directory-specific rules. The system checks for and removes filler phrases such as "in order to" or "it should be noted" and ensures that no emojis are present in the body text of technical documents. Use grounded language with specific references rather than vague claims, and maintain an imperative mood for instructions. For lists of three or more items, prefer bullets over prose to improve scannability.

The audit will issue warnings for paragraphs that exceed length limits or files that surpass the established line count thresholds. We also flag marketing language and abstract adjectives like "capable" or "smooth" to maintain a technical and direct tone across all project documentation.

Step 4.25: AI Slop Detection (slop-scanned)

Run Skill(scribe:slop-detector) on edited documentation to detect AI-generated content markers.

Scribe Integration

The scribe plugin provides comprehensive AI slop detection:

Skill(scribe:slop-detector) --target [edited-files]

This detects:

  • Tier 1 words: delve, tapestry, comprehensive, leveraging, etc.
  • Phrase patterns: "In today's fast-paced world", "cannot be overstated"
  • Structural markers: Excessive em dashes, bullet overuse, sentence uniformity
  • Sycophantic phrases: "I'd be happy to", "Great question!"

Writing Style Guidelines

For enhanced writing quality, check for elements-of-style:writing-clearly-and-concisely:

# If superpowers/elements-of-style is installed:
Skill(elements-of-style:writing-clearly-and-concisely)

# Fallback if not installed - use scribe:doc-generator principles:
Skill(scribe:doc-generator) --remediate

The fallback provides equivalent guidance:

  1. Ground every claim with specifics
  2. Trim rhetorical crutches (no formulaic openers/closers)
  3. Use numbers, commands, filenames over adjectives
  4. Balance bullets with narrative prose
  5. Show authorial perspective (trade-offs, reasoning)

Remediation

If slop score exceeds 2.5 (moderate), run:

Agent(scribe:doc-editor) --target [file]

This provides interactive section-by-section cleanup with user approval.

Skip Options

  • Use --skip-slop flag to bypass slop detection
  • Slop warnings are non-blocking by default

Step 4.5: Sync Plugin Registrations (plugins-synced)

Audit plugin.json files against disk (prevents registration drift):

# Quick discrepancy check for all plugins
for plugin in plugins/*/; do
  name=$(basename "$plugin")
  pjson="$plugin/.claude-plugin/plugin.json"
  [ -f "$pjson" ] || continue

  # Count commands
  json_cmds=$(jq -r '.commands | length' "$pjson" 2>/dev/null || echo 0)
  disk_cmds=$(ls "$plugin/commands/"*.md 2>/dev/null | wc -l)

  # Count skills (directories only)
  json_skills=$(jq -r '.skills | length' "$pjson" 2>/dev/null || echo 0)
  disk_skills=$(ls -d "$plugin/skills"/*/ 2>/dev/null | wc -l)

  # Report mismatches
  if [ "$json_cmds" != "$disk_cmds" ] || [ "$json_skills" != "$disk_skills" ]; then
    echo "$name: commands=$json_cmds/$disk_cmds skills=$json_skills/$disk_skills"
  fi
done

If mismatches found: Run /update-plugins --fix or manually update plugin.json files.

Why this matters: Unregistered commands/skills won't appear in Claude Code's slash command menu or be discoverable.

Step 4.75: Sync Capabilities Documentation (capabilities-synced)

Load: @modules/capabilities-sync.md

Purpose: Ensure plugin.json registrations are reflected in reference documentation.

Sync Targets:

SourceDocumentation Target
plugin.json.skills[]book/src/reference/capabilities-reference.md
plugin.json.commands[]book/src/reference/capabilities-reference.md
plugin.json.agents[]book/src/reference/capabilities-reference.md
hooks/hooks.jsonbook/src/reference/capabilities-reference.md
Plugin existencebook/src/plugins/{plugin}.md

Quick Check:

# Compare registered vs documented skills
for pjson in plugins/*/.claude-plugin/plugin.json; do
  plugin=$(basename $(dirname $(dirname "$pjson")))
  jq -r --arg p "$plugin" '.skills[]? | sub("^\\./skills/"; "") | "\($p):\(.)"' "$pjson" 2>/dev/null
done | sort > /tmp/registered-skills.txt

grep -E "^\| \`[a-z-]+\` \|" book/src/reference/capabilities-reference.md | \
  head -120 | awk -F'|' '{print $2":"$3}' | sort > /tmp/documented-skills.txt

# Show missing
comm -23 /tmp/registered-skills.txt /tmp/documented-skills.txt

If discrepancies found:

  1. Missing from docs: Add entries to capabilities-reference.md tables
  2. Missing plugin pages: Create book/src/plugins/{plugin}.md
  3. Missing from SUMMARY: Add plugin to book/src/SUMMARY.md

Auto-generate entry format:

| `{skill-name}` | [{plugin}](../plugins/{plugin}.md) | {description} |

Skip options: Use --skip-capabilities to bypass this phase.

Step 5: Verify Accuracy (accuracy-verified)

Load: @modules/accuracy-scanning.md

Validate claims against codebase:

# Quick version check
for p in plugins/*/.claude-plugin/plugin.json; do
    jq -r '"\(.name): \(.version)"' "$p"
done

# Quick counts
echo "Plugins: $(ls -d plugins/*/.claude-plugin/plugin.json | wc -l)"
echo "Skills: $(find plugins/*/skills -name 'SKILL.md' | wc -l)"

Verification: Run the command with --help flag to verify availability.

Flag mismatches:

  • Version numbers that don't match plugin.json
  • Plugin/skill/command counts that don't match actual directories
  • File paths that don't exist

LSP-Enhanced Verification (2.0.74+):

When ENABLE_LSP_TOOL=1 is set, enhance accuracy verification with semantic analysis:

  1. API Documentation Coverage:

    • Query LSP for all public functions/classes
    • Check which lack documentation
    • Verify all exported items are documented
  2. Signature Verification:

    • Compare documented function signatures with actual code
    • Detect parameter mismatches
    • Flag return type discrepancies
  3. Reference Finding:

    • Use LSP to find all usages of documented items
    • Include real usage examples in documentation
    • Verify cross-references are accurate
  4. Code Structure Validation:

    • Check documented file paths exist (via LSP definitions)
    • Verify module organization matches documentation
    • Detect renamed/moved items

Efficiency: LSP queries (50ms) vs. manual file tracing (minutes) - dramatically faster verification.

Default Strategy: Documentation updates should prefer LSP for all verification tasks. Enable ENABLE_LSP_TOOL=1 permanently for best results.

Non-blocking: Warnings are informational; user decides whether to fix.

Step 6: Preview Changes (preview)

  • Show diffs for each edited file (git diff <file> or rg snippets).
  • Include accuracy warnings if any were flagged.
  • Summarize:
    • Files created/modified/deleted
    • Consolidation actions taken
    • Style violations fixed
    • Remaining TODOs or follow-ups

Exit Criteria

  • All TodoWrite items are completed and documentation is updated.
  • New ADRs, if any, are in wiki/architecture/ (or the established ADR directory) with the correct status and links to related work.
  • Directory-specific style rules are satisfied.
  • Accuracy warnings addressed or acknowledged.
  • Content does not sound AI-generated.
  • Files are staged or ready for review.

Flags

FlagEffect
--skip-consolidationSkip Phase 2.5 consolidation check
--skip-slopSkip Phase 4.25 AI slop detection
--strictTreat all warnings as errors
--book-styleApply book/ rules to all files

Troubleshooting

Common Issues

Documentation out of sync Run make docs-update to regenerate from code

Build failures Check that all required dependencies are installed

Links broken Verify relative paths in documentation files

Source

git clone https://github.com/athola/claude-night-market/blob/master/plugins/sanctum/skills/doc-updates/SKILL.mdView on GitHub

Overview

doc-updates automates documentation edits triggered by code changes, enforcing writing guidelines and ADR maintenance. It applies directory-specific style rules, validates versions and component counts, and integrates with semantic verification to keep docs accurate and consistent.

How This Skill Works

Technically, it collects change context via sanctum:git-workspace-review, identifies targets in docs/, book/, and ADRs, then applies edits with built-in quality gates. It also runs consolidation checks, AI slop detection, and plugin synchronization before preview and finalize.

When to Use It

  • After code changes require updates to the README, plans, wikis, or docstrings.
  • When you need to enforce writing guidelines and validate version numbers and component counts.
  • When there might be redundant information across docs and you want consolidation detection.
  • When you must capture context with sanctum:git-workspace-review before updates.
  • When updating non-README docs within docs/ or book/ directories and ensuring proper style rules.

Quick Start

  1. Step 1: Run Step 1 of the workflow by executing sanctum:git-workspace-review to capture the delta.
  2. Step 2: Identify targets in docs/, ADRs, docstrings, and wikis; note any consolidation opportunities.
  3. Step 3: Apply edits, enforce guidelines, run AI slop and capability sync checks, then preview changes.

Best Practices

  • Run sanctum:git-workspace-review first to capture the delta.
  • Cross-check CHANGELOG entries and align version numbers and components.
  • Apply consolidation checks and respect directory-specific style rules for docs/ vs book/.
  • Perform AI slop detection and semantic verification to ensure accuracy.
  • Preview changes and synchronize plugin capabilities before final commit.

Example Use Cases

  • Update ADRs to reflect a new feature implemented in code, ensuring the ADR references the latest changes.
  • Revise docstrings to accurately describe updated API signatures after a release.
  • Update planning docs and wikis to reflect new capabilities introduced by code changes.
  • Synchronize version numbers across plugin docs during a release cycle.
  • Consolidate redundant documentation across multiple files following a refactor in the docs/ directory.

Frequently Asked Questions

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